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I built a neural network from scratch using NumPy to understand backpropagation

I've been studying neural networks from first principles and recently finished implementing a trainable 2 → 3 → 1 network for XOR using Python and NumPy. The project covers forward propagation, ReLU and sigmoid activations, loss calculation, manually derived backpropagation, and gradient descent. A…

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  1. 2026-10-18 15:40 · r/learnmachinelearning
    I built a neural network from scratch using NumPy to understand backpropagation

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